two-tailed test


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two-tailed test

 
a test analyzing a nondirectional hypothesis in which the researcher assumes that an extreme score can occur in either extreme of the sampling distribution.

two-tailed test

a test in which both 'large' and 'small' values of the test statistic indicate that the null hypothesis is not correct.
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1955 Standard errors in parentheses * Significant at the 10% level of significance in a two-tailed test ** Significant at the 5% level of significance in a two-tailed test *** Significant at the 1% level of significance in a two-tailed test Table 3: Summary of Marginal Effects Variable Y = 0 Y = 1 Y = 2 TGPA>B -0.
Since the partition of the data set may reveal differences in dividend policy response, we applied two-tailed tests of the null hypothesis of zero mean difference in payout ratios (significance is again tested at the conventional 5% level.
The p-values indicated in the tables are for two-tailed tests.
The mean scores were tested using the Chi Square test of significance and a regression analysis using the two-tailed test at the .
The results are statistically significant in the first part of model I (under a two-tailed test indicated in the tables) and in the first part of model II (under a one-tailed test).
Conducting a two-tailed test would have been a more valid procedure, because that would imply that she was not taking advantage of a priori knowledge.
2] is a factor for a two-tailed test of significance (usually set at 1.
These findings are statistically significant at the 1 percent level using a two-tailed test.
The difference for JB1 between the R-F-H trials and the other trials is significant even by a more appropriate two-tailed test, [CR.
He has completely rewritten the chapter on regression modeling and added or clarified material on one-tailed and two-tailed tests, choosing the right statistical tests for a particular study, and programming.